The Cluster Graphical Lasso for improved estimation of Gaussian graphical models

19 July 2013

Papers citing "The Cluster Graphical Lasso for improved estimation of Gaussian graphical models"

20 / 20 papers shown

Title
Clusterpath Gaussian Graphical Modeling Daniel J. W. Touw Andreas Alfons Patrick J. F. Groenen Ines Wilms 24 0 0 30 Jun 2024
Stable network inference in high-dimensional graphical model using single-linkage Emilie Devijver Rémi Molinier M. Gallopin 18 0 0 14 Jun 2024
Module-based regularization improves Gaussian graphical models when observing noisy data Magnus Neuman J. Calatayud Viktor Tasselius M. Rosvall 11 1 0 29 Mar 2023
Sure Screening for Transelliptical Graphical Models Yuxiang Xie C. Shi R. Song 6 0 0 23 Sep 2022
Inference of Multiscale Gaussian Graphical Model Do Edmond Sanou Christophe Ambroise Geneviève Robin 6 1 0 11 Feb 2022
The folded concave Laplacian spectral penalty learns block diagonal sparsity patterns with the strong oracle property Iain Carmichael 8 2 0 07 Jul 2021
Tree-based Node Aggregation in Sparse Graphical Models Ines Wilms Jacob Bien 13 4 0 29 Jan 2021
Graphical Elastic Net and Target Matrices: Fast Algorithms and Software for Sparse Precision Matrix Estimation Solt Kovács Tobias Ruckstuhl Helena Obrist Peter Buhlmann 11 9 0 06 Jan 2021
Algorithms for Learning Graphs in Financial Markets José Vinícius de Miranda Cardoso Jiaxi Ying Daniel P. Palomar CML AIFin 33 17 0 31 Dec 2020
Learning Gaussian Graphical Models with Ordered Weighted L1 Regularization Cody Mazza-Anthony Bogdan Mazoure Mark J. Coates 10 2 0 06 Jun 2019
A Unified Framework for Structured Graph Learning via Spectral Constraints Sandeep Kumar Jiaxi Ying José Vinícius de Miranda Cardoso Daniel P. Palomar 10 109 0 22 Apr 2019
Robust Sparse Reduced Rank Regression in High Dimensions Kean Ming Tan Qiang Sun Daniela Witten 13 3 0 18 Oct 2018
Group Invariance and Computational Sufficiency Vincent Q. Vu 10 1 0 16 Jul 2018
Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model Daniel Andrade Akiko Takeda Kenji Fukumizu 16 4 0 15 Jun 2018
Kernel Additive Principal Components X. Tan A. Buja Zongming Ma 11 1 0 21 Nov 2015
Block-diagonal covariance selection for high-dimensional Gaussian graphical models Emilie Devijver M. Gallopin 12 39 0 12 Nov 2015
Sparse Quadratic Discriminant Analysis and Community Bayes Ya Le Trevor Hastie 32 10 0 17 Jul 2014
A Note on Moment Inequality for Quadratic Forms Xiaohui Chen 28 3 0 04 Apr 2014
A Component Lasso Nadine Hussami Robert Tibshirani 41 4 0 18 Nov 2013
Correlated variables in regression: clustering and sparse estimation Peter Buhlmann Philipp Rutimann Sara van de Geer Cun-Hui Zhang 80 181 0 26 Sep 2012